Getting started
Charlotte Fresenius Privatuniversität
March 14, 2025
| Percentage | Grade |
|---|---|
| 95 - 100 % | 1,0 |
| 90 - 94 % | 1,3 |
| 85 - 89 % | 1,7 |
| 80 - 84 % | 2,0 |
| 75 - 79 % | 2,3 |
| 70 - 74 % | 2,7 |
| Percentage | Grade |
|---|---|
| 65 - 69 % | 3,0 |
| 60 - 64 % | 3,3 |
| 55 - 59 % | 3,7 |
| 50 - 54 % | 4,0 |
| below 50 % | 5,0 |
Choice of topic: while you are completely free in your choice of topic in the group, here are some areas of suggestion:
Sources for data sets: while you are again free also in your choice of data set, good places to get you started are:
Caution
When selecting a data set, make sure, you are allowed to use this data for the purposes of your project! When selecting from the sources given, this should generally be ensured.
Important
In your peer review, focus on content, not on the formatting or quality of the slides, for instance.
March
14th: Getting started, Introduction to Data Science (DS)
21st: The essentials of R programming
31st: The DS workflow – Part I: Import, Tidy and Transform
April
4th/11th: The DS workflow – Part II: Visualize
30th: The DS workflow – Part III: Model
May
6th/9th/16th/23rd: The DS workflow – Part III: Model
28th: The DS workflow – Part IV: Communicate
June
6th: Buffer session
13th: Final presentations of the group projects
Deadlines
Data Science and Data Analytics – Getting started